Document Type : Research Paper
Authors
1 MSc of Arid Lands Management, Faculty of Natural Resources and Desert Studies, Yazd University, Yazd, Iran
2 Assistant Professor of Department of Arid Lands and Desert Management, Faculty of Natural Resources and Eremology, Yazd University, Yazd, Iran.
3 Assistant Professor of Department of Geography, Yazd University, Yazd, Iran
Abstract
Keywords
Abdullahi, S., & Pradhan, B. (2016). Sustainable brownfields land use change modeling using GIS-Based weights-of-evidence approach. Applied spatial analysis and policy, 9(1), 21-38.
Anderson, J. R., Hardy, E. E., & Roach, J. T. (1972). A land-use classification system for use with remote sensor data (Vol. 671): US Geological Survey.
Bhattacharya, B., Mallick, K., Patel, N., & Parihar, J. (2010). Regional clear sky evapotranspiration over agricultural land using remote sensing data from Indian geostationary meteorological satellite. Journal of Hydrology, 387(1-2), 65-80.
Buyadi, S. N. A., Mohd, W. M. N. W., & Misni, A. (2013). Impact of land use changes on the surface temperature distribution of area surrounding the National Botanic Garden, Shah Alam. Procedia-Social and Behavioral Sciences, 101, 516-525.
Carlson, T. & Ripley, D. (1997). On the relation between NDVI, fractional vegetation cover, and leaf area index. Remote Sensing of Environment, 62, 241-252.
Chen, X.-L., Zhao, H.-M., Li, P.-X., & Yin, Z.-Y. (2006). Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes. Remote Sensing of Environment, 104(2), 133-146.
Cheng, K.-S., Su, Y.-F., Kuo, F.-T., Hung, W.-C., & Chiang, J.-L. (2008). Assessing the effect of landcover changes on air temperatu× re using remote sensing images—A pilot study in northern Taiwan. Landscape and Urban Planning, 85(2), 85-96.
Eyoh, A., & Okeke, F. (2017). Evaluation of the Relationship between Land Use/Land Cover Dynamics and Land Surface Temperature across the Niger Delta Region of Nigeria. International Journal of Geo informatics and Geological Science, 4(5).
Fall, S., Niyogi, D., Gluhovsky, A., Pielke Sr, R. A., Kalnay, E., & Rochon, G. (2010). Impacts of land use land cover on temperature trends over the continental United States: assessment using the North American Regional Reanalysis. International journal of climatology, 30(13), 1980-1993.
Fonseka, H., Zhang, H., Sun, Y., Su, H., Lin, H., & Lin, Y. (2019). Urbanization and Its Impacts on Land Surface Temperature in Colombo Metropolitan Area, Sri Lanka, from 1988 to 2016. Remote Sensing, 11(8), 957.
(2018). etection of Land Surface Temperature in Relation to Land Use Land Cover Change: Dire Dawa City, Ethiopia. Remote Sens GIS, 7. doi:10.4172/2469-4134.1000245
Jiang, J., & Tian, G. (2010). Analysis of the impact of land use/land cover change on land surface temperature with remote sensing. Procedia Environmental Sciences, 2, 571-575.
Jiménez-Muñoz, J. C., Sobrino, J. A., Skoković, D., Mattar, C., & Cristóbal, J. (2014). Land surface temperature retrieval methods from Landsat-8 thermal infrared sensor data. IEEE Geoscience and remote sensing letters, 11(10), 1840-1843.
Jiménez‐Muñoz, J. C., & Sobrino, J. A. (2003). A generalized single‐channel method for retrieving land surface temperature from remote sensing data. Journal of Geophysical Research: Atmospheres, 108(D22).
Johnson, B., Tateishi, R., & Kobayashi, T. (2012). Remote sensing of fractional green vegetation cover using spatially-interpolated endmembers. Remote Sensing, 4(9), 2619-2634.
Kant, Y. & Badarinath, K. (1998). A method for estimating the land surface temperature from satellite data using emissivity derived from vegetation index. Current Science, 139-145.
Kumar, K. S., Bhaskar, P. U., & Padmakumari, K. (2012). Estimation of land surface temperature to study urban heat island effect using Landsat ETM+ image. International Journal of Engineering Science and Technology, 4(2), 771-778.
Lavorel, S., Quetier, F., Thebault, A., Daigney, S., Davies, I., & De Chazal, J. (2006). Vulnerability to land use change of services provided by alpine landscapes.
Li, F. Jackson, T. J. Kustas, W. Schmugge, T. French, A. Cosh, M. & Bindlish, R. (2004). Deriving land surface temperature from Landsat 5 and 7 during SMEX02/SMACEX. Remote Sensing of Environment, 92, 521–534
Ning, J., Gao, Z., Meng, R., Xu, F., & Gao, M. (2018). Analysis of relationships between land surface temperature and land use changes in the Yellow River Delta. Frontiers of Earth Science, 12(2), 444-456.
Oluseyi, I. O., Fanan, U., & Magaji, J. Y. (2009). An evaluation of the effect of land use/cover change on the surface temperature of Lokoja town, Nigeria. African Journal of Environmental Science and Technology, 3(3), 086-090.
Omidvar, K., Moidfar, S., Fatemi, M., Narengifard,. (2020).Assessing the relationship between urban land use and thermal islands, Case study: Yazd desert city, Scientific Journal Management System, 13(47), 1-17.
Pu, R., Gong, P., Michishita, R., & Sasagawa, T. (2006). Assessment of multi-resolution and multi-sensor data for urban surface temperature retrieval. Remote Sensing of Environment, 104(2), 211-225.
Sheng, L., Lu, D., & Huang, J. (2015). Impacts of land-cover types on an urban heat island in Hangzhou, China. International Journal of Remote Sensing, 36(6), 1584-1603.
Skoković, D., Sobrino, J., Jimenez-Munoz, J., Soria, G., Juşien, Y., Mattar, C., & Cristóbal, J. (2014). Calibration and validation of land surface temperature for landsat8-tirs sensor. LPVE (Land Product Validation and Evolution.
Sobrino, J., Li, Z., Stoll, M., & Becker, F. (1996). Multi-channel and multi-angle algorithms for estimating sea and land surface temperature with ATSR data. International Journal of Remote Sensing, 17(11), 2089-2114.
Sobrino, J., & Raissouni, N. (2000). Toward remote sensing methods for land cover dynamic monitoring: Application to Morocco. International Journal of Remote Sensing, 21(2), 353-366.
Srivastava, P., Majumdar, T., & Bhattacharya, A. K. (2010). Study of land surface temperature and spectral emissivity using multi-sensor satellite data. Journal of earth system science, 119(1), 67-74.
Sun, Q., Wu, Z., & Tan, J. (2012). The relationship between land surface temperature and land use/land cover in Guangzhou, China. Environmental Earth Sciences, 65(6), 1687-1694.
Valor, E., & Caselles, V. (1996). Mapping land surface emissivity from NDVI: Application to European, African, and South American areas. Remote Sensing of Environment, 57(3), 167-184.
Vlassova, L., Perez-Cabello, F., Nieto, H., Martín, P., Riaño, D., & De La Riva, J. (2014). Assessment of methods for land surface temperature retrieval from Landsat-5 TM images applicable to multiscale tree-grass ecosystem modeling. Remote Sensing, 6(5), 4345-4368.
Wang, S., Ma, Q., Ding, H., & Liang, H. (2018). Detection of urban expansion and land surface temperature change using multi-temporal landsat images. Resources, Conservation and Recycling, 128, 526-534.
Weng, Q. (2003). Fractal analysis of satellite-detected urban heat island effect. Photogrammetric engineering & remote sensing, 69(5), 555-566.
Yokohari, M., Brown, R. D., Kato, Y., & Yamamoto, S. (2001). The cooling effect of paddy fields on summertime air temperature in residential Tokyo, Japan. Landscape and Urban Planning, 53(1-4), 17-27.
Yu, X., Guo, X., & Wu, Z. (2014). Land surface temperature retrieval from Landsat 8 TIRS—Comparison between radiative transfer equation-based method, split window algorithm and single channel method. Remote Sensing, 6(10), 9829-9852.
Zare khormizi, H., Ghafarian Malamiri, H., Mortaz, M. (2020). Evaluation of supervised classification capability of Landsat-8 and Sentinel-2A Satellite images in determining type and area of Pistachio Cultivars. Journal of RS and GIS for Natural Resources, 11(1), 84-103.